Citation
Mohd Ali, Zalina and Ibrahim, Noor Akma and Mengersen, Kerrie and Shitan, Mahendran and Juahir, Hafizan
(2013)
Discriminant analysis of water quality data in Langat River.
In: International Conference on Environmental Forensics 2013, 11-14 Nov. 2013, Marriot Hotel, Putrajaya, Malaysia. (pp. 597-601).
Abstract
River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted by using multivariate statistical methods, i.e., discriminant analysis (DA). Appropriate univariate transformation and data screening for multivariate outlier’s detection were considered. The DA approach used in this study gave better information on river water quality, especially concerning the contribution of the variables in discriminating between the three spatial areas in Langat River.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Environmental Studies Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.1007/978-981-4560-70-2_106 |
| Publisher: | Springer |
| Keywords: | Discriminant analysis; Water quality; Cluster analysis; Langat River |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 30 Jun 2017 09:44 |
| Last Modified: | 30 Jun 2017 09:44 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/978-981-4560-70-2_106 |
| URI: | http://psasir.upm.edu.my/id/eprint/55818 |
| Statistic Details: | View Download Statistic |
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